Top Senior Level Data Science Jobs in Washington DC,

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.

As a Senior Data Scientist at Tiger Analytics, you will leverage your expertise in AI and machine learning to design and build advanced analytics engines. Collaborating with teams, you'll develop and evaluate generative AI products, enhance model performance, and drive data-driven business solutions.

The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.

As a Staff Data Scientist at Zora, you will manage complex data challenges, design and build data systems like ETLs and dashboards, and promote a culture of experimentation through A/B testing. You will also develop metrics for products and contribute to algorithms and recommendations, collaborating with stakeholders to drive data-led decisions.